🎯 A comprehensive gradient-free optimization framework written in Python

pyHarmonySearch is a pure Python implementation of the harmony search (HS) global optimization algorithm.

Yarpiz Evolutionary Algorithms Toolbox for MATLAB

Graph grounding for graph coloring algorithms such as Welsh Powell and Evolution algorithms like Harmony Search and Genetic

A collection of the most commonly used Optimisation Algorithms for Data Science & Machine Learning

Harmony Search Hub Location Allocation Optimization Problem

MetaheuristicAlgorithm

Layout Optimization for Wireless Sensor Networks Using Honey Bee Colony Optimization

Harmony Search is a Metaheuristic method which draws inspiration from the musical process of searching for a perfect state of harmony. In this project such algorithms are developed and performed on benchmark functions and real optimization problems.

Harmony Search Parallel Machine Scheduling

A Simple Python Harmony Core.

Artificial Algea Algorithm, Grey Wolf Optimizer, Harmony Search

Cultural Harmony Learning Algorithm

An implementation of 3 swarm optimization algorithms: Firefly Algorithm, Harmony Search and Particle Swarm. All algorithms are made to be modular and easily importable to other projects for use.

📄 Official implementation regarding the chapter "Fine-Tuning Deep Belief Networks with Harmony-Based Optimization".

Harmony Search (HS) Travelling Salesman Problem (TSP) with Python

Optimization Algorithm

Harmony Search Time Series Forecasting